164.68.123.140 Threat Intelligence - France | IP Address Lookup
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General
IP Address
164.68.123.140
Location
🇫🇷 Lauterbourg, France
Network
AS51167
Threat Score
17/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
mitre
Open Ports Detected
22
Geographic Location
Country
France
City
Lauterbourg
Region
Grand Est
Coordinates
48.9742, 8.1851
Network Information
ASN
AS51167
Organization
Contabo GmbH
Network
AS51167 Contabo GmbH
Associated CVEs
WHOIS Information
NetRange
164.68.96.0 - 164.68.127.255
CIDR
164.68.96.0/19
NetName
RIPE
NetHandle
NET-164-68-96-0-1
Parent
NET164 (NET-164-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2019-06-17
Updated
2025-02-10
Ref
https://rdap.arin.net/registry/ip/164.68.96.0
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
PostalCode
1001EB
Country
NL
OrgTechHandle
RNO29-ARIN
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
OrgTechEmail
hostmaster@ripe.net
OrgTechRef
https://rdap.arin.net/registry/entity/RNO29-ARIN
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-19 | Cve 2021 42013 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Webexploit Mitre T1083 Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Cve 2021 41773 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2025-10-29 | Cve 2024 4577 Attacker Ip List 2025 10 29 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 164.68.123.140 and was generated either as a result of observed malicious activity or as an information gathering exercise to assist with enrichment of security events and context. All information is gathered passively through aggregation of public sources, or observations through activity upon honeynets. The host score is calculated through a series of statistically weighted values and machine learning which takes into account metadata such as host information, frequency, volume and global distribution of malicious activity, association with other known malicious hosts or networks, proxying or anonymising behaviour such as with tor exit nodes, residential proxies or VPN services, and many other attributes. These values are historical and indicative only, and should not be taken to be an accurate representation of the users, businesses or networks in which they reside.